An Analytical Black Hole Attack Model Using a Stochastic Topology Approximation Technique for Reactive Ad-Hoc Routing Protocols

Abstract This paper presents an analytical Black Hole attack model to predict the mean packet loss of ad-hoc networks using reactive routing protocols without apriori knowledge of the actual topology configuration. Topology information is summarized as a set of prototypical hop-distance profiles that describe likely hop distance perspectives within the topology and are generated using K-means clustering. Experiments are conducted to validate the theoretical attack condition, the hop-distance profiles, and prediction performance. Results show the model prediction falls within the 95% confidence intervals of packet loss through simulation of a variety of fixed and ad-hoc topologies

The Z-Wave Routing Protocol and Its Security Implications

Z-Wave is a proprietary technology used to integrate sensors and actuators over RF and perform smart home and office automation services. Lacking implementation details, consumers are under-informed on the security aptitude of their installed distributed sensing and actuating systems. While the Physical (PHY) and Medium Access Control (MAC) layers of the protocol have been made public, details regarding the network layer are not available for analysis. Using a real-world Z-Wave network, the frame forwarding and topology management aspects of the Z-Wave routing protocol are reverse engineered. A security analysis is also performed on the network under study to identify source and data integrity vulnerabilities of the routing protocol. It is discovered that the topology and routes may be modified by an outsider through the exploitation of the blind trust inherent to the routing nodes of the network. A Black Hole attack is conducted on a real-world Z-Wave network to demonstrate a well-known routing attack that exploits the exposed vulnerabilities. As a result of the discoveries, several recommendations are made to enhance the security of the routing protocol

Air Force Institute of Technology Research Report 2016

This Research Report presents the FY16 research statistics and contributions of the Graduate School of Engineering and Management (EN) at AFIT. AFIT research interests and faculty expertise cover a broad spectrum of technical areas related to USAF needs, as reflected by the range of topics addressed in the faculty and student publications listed in this report. In most cases, the research work reported herein is directly sponsored by one or more USAF or DOD agencies. AFIT welcomes the opportunity to conduct research on additional topics of interest to the USAF, DOD, and other federal organizations when adequate manpower and financial resources are available and/or provided by a sponsor. In addition, AFIT provides research collaboration and technology transfer benefits to the public through Cooperative Research and Development Agreements (CRADAs)